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FAMilTrack_v2
matlab 实现的odfs跟踪算法,功能强大新颖(matlab method)
- 2013-07-31 11:34:53下载
- 积分:1
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12322879
说明: 因为经典粗糙集只能处理离散型数据,而连续性数据必须离散化才能处理,但是离散化可能会丢失部分重要信息,所有使用基于邻域粗糙集的属性约简去处理连续性数据。(Attribute reduction based on neighborhood rough set)
- 2020-12-25 10:15:46下载
- 积分:1
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qam16
ofdm implementation using 16-Qam
- 2014-10-29 20:19:24下载
- 积分:1
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Proj11
该源码包包括二值图像边界提取程序、边界序列提取程序、边界序列均匀抽样程序、计算边界的傅立叶描绘子程序、根据傅立叶描绘子对图像边界重建程序(The source package includes binary image edge detection process, the boundary sequence extraction process, the border sequence of uniform sampling procedure to calculate the boundary Fourier subroutine described, according to the boundary Fourier descriptors of the image reconstruction process)
- 2010-09-15 23:39:34下载
- 积分:1
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t_2_fft
说明: 在MATLAB环境中,利用简单的加法和乘法实现基2时间抽取的FFT变换,并且能够计算出峰值点的最大值,数据点数为2的整数次幂。学习程序有利于对FFT变换的理解,以及在单片机环境或者是DSP环境中编写FFT变换C语言程序。(In the MATLAB environment, using simple addition and multiplication of time taken to achieve the base 2 FFT transform, and can calculate the maximum peak point. Learning process is conducive to the understanding of the FFT transform, and the DSP in the microcontroller environment, the environment or the preparation of FFT, C language program.)
- 2011-03-14 11:27:48下载
- 积分:1
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sift
1 SIFT 发展历程
SIFT算法由D.G.Lowe 1999年提出,2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式,对其进行改进。
2 SIFT 主要思想
SIFT算法是一种提取局部特征的算法,在尺度空间寻找极值点,提取位置,尺度,旋转不变量。
3 SIFT算法的主要特点:
a) SIFT特征是图像的局部特征,其对旋转、尺度缩放、亮度变化保持不变性,对视角变化、仿射变换、噪声也保持一定程度的稳定性。
b) 独特性(Distinctiveness)好,信息量丰富,适用于在海量特征数据库中进行快速、准确的匹配[23]。
c) 多量性,即使少数的几个物体也可以产生大量SIFT特征向量。
d) 高速性,经优化的SIFT匹配算法甚至可以达到实时的要求。
e) 可扩展性,可以很方便的与其他形式的特征向量进行联合。
4 SIFT算法步骤:
1) 检测尺度空间极值点
2) 精确定位极值点
3) 为每个关键点指定方向参数
4) 关键点描述子的生成
本包内容为sift算法matlab源码(1 SIFT course of development
SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement.
2 the SIFT main idea
The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant.
3 the main features of the SIFT algorithm:
a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability.
b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23].
c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors.
d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements.
e) The scalability can be very convenient fe)
- 2012-05-25 15:31:16下载
- 积分:1
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KFCS
这是关于将卡尔曼于压缩感知结合的的matlab程序。(This is about the combination of the compressed sensing Kalman matlab program.)
- 2015-04-17 11:38:59下载
- 积分:1
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fangzhenzuoye
kalman滤波实现目标跟踪
简洁明了(Kalman filter tracking concise)
- 2007-07-09 18:41:20下载
- 积分:1
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NLMS
此文件为归一化LMS算法的matlab程序(normalized LMS)
- 2012-04-24 16:45:09下载
- 积分:1
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runlengthcode
对二值图像(黑白图像)每行值进行RUN-LENGTH编码和解码(pair of two binary image (black-and-white images) per line value RUN-LENGTH coding and decoding)
- 2007-03-21 08:29:03下载
- 积分:1